Estudiantes del Doctorado, Eduardo Puraivan, Diego Monsalves y Pablo Olivares participaron en publicadacion recientes. Sus temas de aplicaciones son la detección de desinformación, la analisis de interacción del habla y los metodos de inteligencia artificial explicable a la obesidad. 

E. Puraivan, F. Riquelme and R. Venegas, "A Linguistic Features-Based Approach for the Functional Analysis of Disinformation in Spanish," in IEEE Access, vol. 13, pp. 140205-140222, 2025, https://doi.org/10.1109/ACCESS.2025.3595750

D. Monsalves, F. Riquelme, H. Cornide-Reyes, "A real-time speech interaction analytics framework for group activities using SNA and LLM techniques," Expert Systems with Applications, Volume 296, Part A, 2026, 128948, https://doi.org/10.1016/j.eswa.2025.128948

Yáñez-Sepúlveda R, Vásquez-Bonilla A, Olivares R, Olivares P, Zavala-Crichton JP, Hinojosa-Torres C, Muñoz-Strale C, Giakoni-Ramírez F, de Souza-Lima J, Páez-Herrera J, Olivares-Arancibia J, Reyes-Amigo T, Cortés-Roco G, Hurtado-Almonacid J, Guzmán-Muñoz E, Aguilera-Martínez N, López-Gil JF, Becerra-Patiño BA, Paucar-Uribe JD, Garcia-Carrillo E, Clemente-Suárez VJ. Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis. Sci Rep. 2025 Aug 21;15(1):30681. https://doi.org/10.1038/s41598-025-15264-6